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Data Warehouse Migration Best Practices

Monte Carlo

So, you’re planning a cloud data warehouse migration. But be warned, a warehouse migration isn’t for the faint of heart. As you probably already know if you’re reading this, a data warehouse migration is the process of moving data from one warehouse to another. A worthy quest to be sure.

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How to Easily Connect Airbyte with Snowflake for Unleashing Data’s Power?

Workfall

Meet Airbyte, the data magician that turns integration complexities into child’s play. In this digital era, businesses thrive on data, and making this data dance harmoniously with your analytics tools is crucial. Focus on sending relevant, necessary data to Snowflake to prevent overwhelming the integration process.

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Why Data Cleaning is Failing Your ML Models – And What To Do About It

Monte Carlo

After diligent data exploration, you import a few datasets into your Python notebook. Exploratory data analysis Because your company is dashboard crazy and it’s easier than ever for the data engineering team to pipe in data to accommodate ad-hoc requests, discovery was challenging.

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The JaffleGaggle Story: Data Modeling for a Customer 360 View

dbt Developer Hub

It includes a set of demo CSV files, which you can use as dbt seeds to test Donny's project for yourself. If not, I’d recommend taking a second to look at Claire Carroll’s README for the original Jaffle Shop demo project (otherwise this playbook is probably going to be a little weird, but still useful, to read).

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17 Super Valuable Automated Data Lineage Use Cases With Examples

Monte Carlo

Solutions with automated data lineage capabilities constantly update these graphs and illustrate them as nodes and edges, or in other words, the objects through which the data travels and the relationship between them. This is one of the most frequent data lineage use cases leveraged by Vox. Data lineage can help!